Re: [Matplotlib-users] for a log y axis, set_major_formatter then twiny() removes the set_major_formatter

[Michael D. <md...@st...>]

I've filed an issue for this here:

https://github.com/matplotlib/matplotlib/issues/1110

Mike

On 08/19/2012 05:55 PM, Eric Firing wrote:
> On 2012/08/19 10:31 AM, Christopher Graves wrote:
>> Hi
>>
>>
>> I do not think this is the expected behavior. First, run the following:
>>
>>
>> from pylab import *
>>
>> plot([0,3],[0.2,0.7])
>>
>> ax1 = gca()
>>
>> ax1.set_yscale('log')
>>
>> gca().yaxis.set_major_formatter(FormatStrFormatter('$%g$'))
>>
>> #ax2 = ax1.twiny()
>>
>> #ax2.set_xlim(ax1.get_xlim())
>>
>> show()
>>
>>
>> You will see that the y-axis is log10rithmic and axis labels are 0.1 and
>> 1 rather than 10^-1 and 10^0, due to the use of set_major_formatter().
>>
>>
>> Now uncomment the 2 commented lines and run it again. It seems that upon
>> applying a twiny(), the set_major_formatter() action is removed and the
>> y-axis is now displayed as 10^-1 and 10^0. Or more likely, the y-axis is
>> "overwritten" with a new y-axis present in ax2. One can add another
>> gca().yaxis.set_major_formatter(FormatStrFormatter('$%g$')) before the
>> show() and it works as intended. However, it seems like unexpected
>> behavior to "lose" the formatting when twinning the axis to add a
>> secondary x-axis. Any advice or agreement that this could be a bug?
> Yes, I think this is a bug.
>
> Eric
>
>>
>> Best,
>>
>> Chris
>>
>
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